Table 1D.

Bivariate Model Fitting Statistics for GAD

Model Fits Statistics
	Model	−2 Log Likelihood	DF	−2 Log Likelihood Difference	DF Difference	P-value	AIC
0	full	6917.210	15687	n/a	n/a	n/a	n/a
1	rA=0	6930.960	15688	13.750	1	0.000	11.750
2	rA=1	6932.780	15688	15.570	1	0.000	13.570
3	rC=0	6917.210	15688	0.000	1	1.000	−2.000
4	rC=1	6917.210	15688	0.000	1	1.000	−2.000
5	rE=0	6917.283	15688	0.073	1	0.788	−1.927
6	rE=1	792.002	15688	2874.792	1	0.000	2872.792
7	c1 = c2= rC=0	6917.210	15690	0.00	3	1.00	−6.00
8	rA=c1 = c2= rC=0	6930.960	15691	13.750	4	0.008	5.750
9	rA=1, c1 = c2= rC=0	6932.780	15691	15.570	4	0.004	7.570
10	c1 = c2= rC= rE=0	6917.283*	15691*	0.073*	4*	0.999*	−7.927*
11	c1 = c2= rC= 0, rE=1	9792.002	15691	2874.792	4	0.000	2866.792

Abbreviations: A = Additive genetics; AIC = Akaike information criterion; C = Shared environment; E = Unique environment plus error; GAD = Generalized Anxiety Disorder as defined in DSM-III-R; NA = not applicable; PG= pathological gambling as defined in DSM-III-R; r_{A =} Correlation between A_PG and A_GAD; r_C = Correlation between C_PG and C_GAD; r_E = Correlation between E_PG and E_GAD;

^*= Best Fitting model